From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition

• Published in: IEEE transactions on affective computing Vol. 13; no. 2; pp. 568 - 578
• Main Authors: Li, Yang, Zheng, Wenming, Wang, Lei, Zong, Yuan, Cui, Zhen
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.04.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biological neural networks; Brain; Brain modeling; Classifiers; Computational modeling; Domains; EEG emotion recognition; Electrodes; Electroencephalography; Emotion recognition; Emotions; Feature extraction; Machine learning; Neural networks; regional to global; spatial-temporal network

In this paper, we propose a novel Electroencephalograph (EEG) emotion recognition method inspired by neuroscience with respect to the brain response to different emotions. The proposed method, denoted by R2G-STNN, consists of spatial and temporal neural network models with regional to global hierarc...